Self-supervised video hashing via bidirectional transformers
Most existing unsupervised video hashing methods are built on unidirectional models with
less reliable training objectives, which underuse the correlations among frames and the …
less reliable training objectives, which underuse the correlations among frames and the …
Semantics-aware spatial-temporal binaries for cross-modal video retrieval
With the current exponential growth of video-based social networks, video retrieval using
natural language is receiving ever-increasing attention. Most existing approaches tackle this …
natural language is receiving ever-increasing attention. Most existing approaches tackle this …
Deep video hashing
In this work, we propose a deep video hashing (DVH) method for scalable video search.
Unlike most existing video hashing methods that first extract features for each single frame …
Unlike most existing video hashing methods that first extract features for each single frame …
Neighborhood preserving hashing for scalable video retrieval
In this paper, we propose a Neighborhood Preserving Hashing (NPH) method for scalable
video retrieval in an unsupervised manner. Unlike most existing deep video hashing …
video retrieval in an unsupervised manner. Unlike most existing deep video hashing …
Topic-based video analysis: A survey
Manual processing of a large volume of video data captured through closed-circuit television
is challenging due to various reasons. First, manual analysis is highly time-consuming …
is challenging due to various reasons. First, manual analysis is highly time-consuming …
Unsupervised variational video hashing with 1D-CNN-LSTM networks
Most existing unsupervised video hashing methods generate binary codes by using RNNs
in a deterministic manner, which fails to capture the dominant latent variation of videos. In …
in a deterministic manner, which fails to capture the dominant latent variation of videos. In …
A supervised deep convolutional based bidirectional long short term memory video hashing for large scale video retrieval applications
R Anuranji, H Srimathi - Digital Signal Processing, 2020 - Elsevier
Recently, large scale video content retrieval has gained more attention due to a large
amount of user-generated images and video content available over the internet. Hashing is …
amount of user-generated images and video content available over the internet. Hashing is …
Structure-adaptive neighborhood preserving hashing for scalable video search
In this paper, we propose a Structure-adaptive Neighborhood Preserving Hashing (SNPH)
method for unsupervised scalable video search. Unlike most existing hashing methods …
method for unsupervised scalable video search. Unlike most existing hashing methods …
Research on Word Vector Training Method Based on Improved Skip‐Gram Algorithm
Y Tang - Advances in Multimedia, 2022 - Wiley Online Library
Through the effective word vector training method, we can obtain semantic‐rich word vectors
and can achieve better results on the same task. In view of the shortcomings of the …
and can achieve better results on the same task. In view of the shortcomings of the …
High performance algorithm for content-based video retrieval using multiple features
GS Naveen Kumar, VSK Reddy - Intelligent Systems and Sustainable …, 2022 - Springer
With the growth of technology, there has been a revolution in multimedia. The current text-
based video retrieval method necessitates a large amount of manual intervention and …
based video retrieval method necessitates a large amount of manual intervention and …